ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.00944
  4. Cited By
Feature Space Particle Inference for Neural Network Ensembles

Feature Space Particle Inference for Neural Network Ensembles

2 June 2022
Shingo Yashima
Teppei Suzuki
Kohta Ishikawa
Ikuro Sato
Rei Kawakami
    BDL
ArXivPDFHTML

Papers citing "Feature Space Particle Inference for Neural Network Ensembles"

5 / 5 papers shown
Title
Learning Diverse Features in Vision Transformers for Improved
  Generalization
Learning Diverse Features in Vision Transformers for Improved Generalization
A. Nicolicioiu
Andrei Liviu Nicolicioiu
B. Alexe
Damien Teney
29
3
0
30 Aug 2023
Predicting is not Understanding: Recognizing and Addressing
  Underspecification in Machine Learning
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
25
29
0
06 Jul 2022
Projected Stein Variational Gradient Descent
Projected Stein Variational Gradient Descent
Peng Chen
Omar Ghattas
BDL
50
68
0
09 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
1